Cloud Migration journey
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The document summarizes the journey of a company moving its analytics infrastructure to the cloud to achieve scale, elasticity, and cost savings. It discusses three phases: 1) lifting and shifting infrastructure to the cloud, 2) rearchitecting applications to use cloud-native services, and 3) further optimization using new cloud tools. Key wins included reduced costs, improved performance, and increased developer productivity. Challenges included lack of training, not fully embracing DevOps, and tools that did not meet expectations.
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https://youtu.be/2B6QAU5o78w
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Best Practices and Lessons Learned on Our IBM Rational Insight Deployment
This document summarizes the experiences of Rational Unleash The Labs in deploying IBM Rational Insight for automated reporting. Key points include:
1) They moved from an 80% manual reporting process to an 80% automated process using Insight, saving about 40 work hours per month.
2) Best practices for deployment include taking a phased approach, focusing initially on key requirements, starting with a simple use case, and maintaining a test environment.
3) Tips provided include leveraging out-of-the-box Insight models, understanding source data schemas, and containing the number of live reports on dashboards for performance.
DevOps Offerings at WhiteHedge
WhiteHedge provides DevOps as a service. We offer devops consultation, implementation and training services. You can contact us at devops@whitehedge.com
Zero to 12 Million
SpringOne Platform 2017
Brendan Aye, T-Mobile
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OpenDevOps 2019 - Disconnected pipelines the missing link
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Intro to Cloud Native _ v1.0en (2021/01)
A high level introduction to the Cloud Native App concepts.
Implications, principles and practices.
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This document summarizes Viadeo's experience moving their entire infrastructure to AWS. It describes their motivation for moving to the cloud to focus on their product instead of managing hardware. It outlines their step-by-step process, including automating infrastructure with CloudFormation, baking AMIs, and continuous integration/delivery. It discusses lessons learned around networking, databases, and involving stakeholders in the transition. Currently, their staging and production environments run in AWS across multiple regions, with future plans to migrate more services.
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As technology moves from being a cost-center to a revenue generator in nearly every business, technologists are expected to deliver more with fewer resources. DevOps enables this efficiency through improved collaboration between product management, development, release management, quality assurance, information security, and operations. However, Aater Suleman says that the challenge of incorporating DevOps into a business is no small task. Improving this collaboration requires cross-functional technologies that benefit all departments. By this definition, Docker may well be the most important tool in the DevOps toolbox as it allows empowering and permeable interfaces to be built between different departments throughout the DevOps loop. Aater explores both the Dev and Ops tracks of three companies and examines advantages that were achieved using Docker containers. He shows how Docker containers can work in environments from development to production and shares how this effort can be empirically tracked using five key performance indicators.
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This talk focusses on the technologies that can be adopted in order to enhance agility and speed of development through advances in system stability. We will span over techniques such as containerization, server-less architectures, logging technologies and application architectures that can have an immediate effect in an organisations' agility.
DevOps Case Studies
Some interesting case studies of how we helped our clients adopt DevOps. The cases cover various fields within DevOps space: CI/CD, Monitoring, Cloud Migration
Net3 Technology: 5 step guide to DevOps in the Cloud
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• The current asymmetrical state of DevOps
• How to achieve symmetry within DevOps
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• DevOps’s automation
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APIdays Paris 2018 - Cloud computing - we went through every steps of the Gar...
This document summarizes a presentation about cloud computing trends and the hype cycle. It discusses both the promises and fears around cloud adoption, as well as going through each stage of the hype cycle from the technology trigger to peak expectations to disillusionment to productivity. Key points discussed include the responsibilities that shift between on-premise, IaaS, PaaS and CaaS models, challenges around integration, resiliency, reversibility and vendor lock-in, and the importance of people and processes over just technology. The conclusion emphasizes the need for subtle choices around balancing control and outsourcing as well as periodically reassessing one's cloud strategy as the landscape evolves.
Java Agile ALM: OTAP and DevOps in the Cloud
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Bas Van Oudenaarde job Technical Manager at VX Company.
Moving Applications to the cloud
The webinar discusses how DevOps principles and container technology can help address the dilemma between development and IT operations teams. It introduces containerization and how moving applications to the cloud using containers on a platform like APPUiO can improve collaboration, automation, agility and costs. An example is provided of a 20 year old legacy application that was modernized and moved to OpenShift using APPUiO, delivering significant improvements to development and operations.
04 accelerating businessvaluewithdevops
This document provides an overview of DevOps and how it can help organizations accelerate business value. It discusses how elite DevOps organizations deploy code 46x more frequently and have 2,555x faster lead times from commit to deploy compared to low performers. The document defines DevOps, compares development methodologies, and outlines key factors for DevOps success like culture, automation, and infrastructure as code. It also provides examples of how to measure DevOps performance and ROI through reduced downtime, automation savings, and increased innovation. Overall, the summary emphasizes how DevOps can help organizations increase software delivery speed and compete in today's digital world.
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Accelerate DevOps Transformation with App Migration to the Cloud
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Webinar Recording: https://www.panagenda.com/webinars/hcl-notes-und-domino-lizenzkostenreduzierung-in-der-welt-von-dlau/
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Overview
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Cloud Migration journey
- 1. TDWI LAS VEGAS STRATEGY SUMMIT tdwi.org/StrategySummitVegas/Presentations Analytics at Cloud Scale AVOID MIGRATION PAIN
- 2. Disclaimer/Goals I have no allegiance to any tech or tech company When it comes to our tech choices, good or bad, YMMV This was our journey, there are many *right* paths My goal is to highlight our wins and losses to share learnings 2
- 3. Our Business Case Inability to scale quickly Restrictive innovation environment Difficulty managing budget Shrink the growing DevOps chasm Re-focus our tech ops talent pool Attraction/Retention of talented people 3
- 4. What We Wanted Elasticity – think pay-per-use Scalability – think quick upgrade/downgrade Eliminate Pets / Create Cattle Increase profitability and smooth spend 4
- 5. Phase 1: Lift and shift GET OUT OF YOUR DATA CENTER 5
- 6. Our Tech Stack - Then Prod, Stage, Test, Dev Compute: Racks of Dell R910’s 32 x 1TB x 16TB All Pets NLB’s, switches, SAN’s, Database: SQL Server Reporting: Microstrategy Frameworks: Angular, .NET (v4.6+) 6
- 7. Preparing for Lift and Shift Secure your budget Choosing a cloud provider Design communications infrastructure Understanding the EC2/Series instance types Server inventory/collapsing server environment Identify Pets and Cattle and build out server templates 7
- 8. Preparing for Lift and Shift Zones/Regions Create backout plan Time it right: Contracts, penalties, CapEx Phased the approach over months AWS Well Architected Framework and Azure Architecture Center 8
- 9. Wins & Losses 9 Did Great! Server discovery Combining instances Tried many instance types Supportive executive team Timed it well Not Awesome Hiring ahead Getting in front of training
- 10. Execution 10 Test migration with most complex system Redeploy, don’t move Leave a couple of weeks between phases Continually look for cattle Consider ethical destruction of servers
- 11. Wins & Losses 11 Did Great! Set up BDP early - Reduced our footprint Dramatically destressed our System Engineering team Excitement → engagement Not Awesome Cloud engineering and Software engineering weren’t working together all the way through Didn’t embrace DevOps early Didn’t set up monitoring early Inexperience created tech debt
- 12. Phase 2: Rearchitect in place USING CLOUD PROVIDER CLOUD NATIVE SERVICES, TOOLS, AND PLATFORMS 12
- 13. What did we build/update/r eplace? Introduce DevOps to teams – everything is code Convert .NET to .NET Core Built data lake to burst load Replace ETL with S3, Step Functions, Lambda, and ECS Replace SQL Server with Aurora, EMR, DynamoDB Tune our infrastructure – Size & HoO 13
- 14. Wins & Losses 14 Did Great! moved away from using SQL Server/SSIS for ETL; switched to using Step Functions, Lambda, ECS, RedShift, and S3 Re:Invent and MS Build for your technical teams DevOps Not Awesome Adopting new tech when it’s first announced like RedShift or SQL DW – do your due diligence Load balancer costs add up, use ALB’s not ELB’s Didn’t port everything fully No approach to tagging
- 15. Monitoring SumoLogic LogicMonitor CloudWatch CloudHealth Sentry 15
- 16. Wins & Losses 16 Did Great! Defining metrics Getting our tooling in place Displaying it everywhere Using graphs to share stories Not Awesome Not having our monitoring in place fast enough
- 17. Phase 3: Rearchitect again LOOKING AT WHAT’S AVAILABLE IN THE MARKET 17
- 18. Cloud Scale Tooling and Processes Fix all of our tagging Set HOO for all instances Readjust instance types after Re:Invent HOOPA Snowflake 18
- 19. HOOPA 19
- 22. Wins & Losses 22 Did Great! Snowflake was evolutionary for us. Faster execution times, lower costs, cost directly correlated to usage put multiple endpoints on a single alb Not Awesome Tools that didn’t work out the way we hoped – RedShift, EMR, SWF
- 23. Our Tech Stack - Now Compute: EC2, ECS (Elastic Container Service) / docker, Lambda Workflows: Step Functions, SWF* Database: Snowflake, SQL Server, Aurora PostgreSQL, Aurora MySQL, Redshift*, DynamoDB, EMR (PySpark)* Eventing/Streams: SQS, SNS, Kinesis Reporting: MicroStrategy Frameworks: Angular, .NET (v4.6+, core, standard) Conf Mgmt/Orchestration: Chef, Ansible, CloudFormation 23
- 24. Contact Information Paul Birkbeck, VP, Software Engineering pbirkbeck@spscommerce.com linkedin.com/in/paulbirkbeck/ 24